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AI is revolutionizing life sciences. Biocomputing company ProFluent recently launched ProGen3, a powerful generative protein language model (PLM) poised to drive breakthroughs in antibodies, industrial enzymes, and gene editing. Research shows ProGen3's scale and design optimizations enable the generation of highly functional novel proteins, potentially reshaping our understanding of biology. Proteins are vital molecules within living organisms, responsible for diverse physiological functions, from catalyzing reactions to recognition.

Artificial intelligence is rapidly transforming protein discovery and design in biotechnology. Recently, a collaborative team from UC Berkeley and Caltech developed ProteinDT, a novel multimodal framework leveraging text descriptions to aid in protein design. This innovative approach integrates protein sequence and structural information with a wealth of biological knowledge represented in text, opening a new chapter in protein design.

EcoDataCenter, a Swedish company, has secured almost $500 million in funding to build and operate environmentally friendly data centers specifically designed for the growing demands of artificial intelligence. This investment signifies a major step towards a more sustainable future for the AI industry.

Recently, a video has sparked widespread attention online, featuring an account impersonating Zhang Wenhong in a live stream selling a type of protein bar. Many netizens began to question, 'Is Zhang Wenhong really selling products?' Even more concerning is that some elderly viewers believed the video to be genuine, with some placing orders and sharing the information in social groups. After investigation, it was confirmed that the Zhang Wenhong in the video was not a real person, but a deepfake generated through AI technology. Zhang Wenhong has responded, indicating that there is more than one such fraudulent account.

According to the Globe and Mail, the Canadian federal government is considering introducing incentives of up to CAD 15 billion to encourage major domestic pension funds to invest in AI data centers powered by green energy. This proposal was made during private consultations with pension funds and may be considered as part of the government's fall economic statement. Image source note: Image generated by AI, image authorized by service provider Midjourney. With the rapid development of AI technology, platforms like OpenAI's ChatGPT.

Dutch and Swiss protein engineering AI startup Cradle recently announced the successful completion of a $73 million Series B funding round. This round was led by investment firm IVP, with participation from existing investors Index Ventures and Kindred Capital. So far, Cradle has raised over $100 million in total funding. Image source note: Image generated by AI and authorized by service provider Midjourney. Cradle is committed to

In the biotech field, leveraging artificial intelligence to accelerate research has become a new norm. Recently, biotech company Cradle announced it has completed a $73 million funding round, aiming to further expand its laboratories and team. Founded in 2022, Cradle is dedicated to exploring the applications of language models in biotechnology. Founder and CEO Stef van Grieken has vividly referred to the combinations of amino acids and bases as an 'alien programming language', although this language can also be processed by AI models.

Now, scientists can precisely "design" proteins as if they are programming. This is no longer science fiction but a reality being created by the Dutch company Cradle. In the grand tapestry of biotechnology, Cradle's founder, Stefan van Groningen, likens proteins to an "alien programming language." His team is utilizing artificial intelligence to decipher this mysterious language, bringing revolutionary changes to biotechnology. Traditional protein development has been like a long and costly blind exploration. Researchers must go through dozens of experimental rounds, each of which may...

Google DeepMind has released AlphaProteo, an artificial intelligence system focused on generating novel proteins tailored to specific target molecules, aimed at accelerating drug design, disease understanding, and health application research. AlphaProteo successfully designed binders for the protein VEGF-A, which is associated with tumor growth and various disease complications, outperforming traditional methods. Unlike AlphaFold, the proteins designed by this system can interact with biological processes, providing possibilities for developing targeted therapies against harmful proteins.

The launch of Civitai Green marks the platform's transformation into a clean, professional AI art creation environment, completely eliminating adult content to provide creators with safe and appropriate image and model resources, enhancing the user experience in the workplace. Through Civitai Green, the platform not only ensures the high quality and diversity of resources but also introduces a more efficient payment processor, Paddle, optimizing the user payment experience. This transformation benefits the platform's commercial development and strengthens the community ecosystem by sharing works.

AlphaSeq, launched by A-Alpha Bio, has broken the limitations of protein-protein interaction (PPI) prediction, becoming the world's largest PPI dataset with over 750 million measurement results. It contrasts the success of AlphaFold in protein structure prediction and excels particularly in PPI prediction, simplifying the process through innovative methods. The experimental platform of AlphaSeq efficiently measures the binding affinities of millions of PPIs, accelerating the pace of protein research. With expertise in computational biology...

RoboflowSports is a deep learning-based sports data analysis tool that revolutionizes the field with advanced object detection, image segmentation, and keypoint detection. It accurately captures game details, such as ball trajectories and athlete movements, providing coaches and analysts with deep insights. The tool's visualization features present data intuitively and support dataset management, aiding tactical research, performance evaluation, ....

During an interview at a London event, Bill Gates stated that he is not concerned about the increased electricity consumption caused by artificial intelligence applications. He believes that artificial intelligence will ultimately help reduce energy consumption and accelerate the transition to sustainable energy sources.Image Source Note: The image was generated by AI, and the image is provided by Midjourney, the image licensing service.As Gates explained, even in the worst-case scenario, the ad

The artificial intelligence research lab EvolutionaryScale, founded by a former Meta engineer, recently launched ESM3, a biological design tool with native multimodality and generative language modeling.

Jinkai New Energy announced that its subsidiary has signed a 'Strategic Cooperation Framework Agreement' with Baixin Information, intending to establish a comprehensive strategic partnership in the areas of green computing centers, green electricity, and industry chain integration.

The State Post Bureau held a meeting emphasizing the promotion of the widespread application of artificial intelligence in the industry. It aims to accelerate major engineering projects and infrastructure construction, promote carbon neutrality and green governance. A comprehensive investigation and rectification of safety hazards in the industry will be carried out, and the pace of digital transformation will be accelerated. Active efforts will be made to promote the application of artificial intelligence in the postal and express delivery sector to reduce logistics costs in society.

Recently, scientists published a study on protein-ligand complex structure prediction in the journal 'Nature Machine Intelligence'. The new method, NeuralPLexer, predicts structures using deep generative models with only the protein sequence and ligand molecule graph as input. NeuralPLexer leverages a multiscale deep learning system to enhance prediction success rates and is expected to play a significant role in drug discovery. This research provides insights for exploring the field of protein-ligand complex structure prediction.

Dutch-Swiss startup Cradle has successfully raised $240 million, aiming to use AI to help scientists design and engineer proteins faster and more cost-effectively. Cradle employs Generative AI technology, leveraging laboratory data and billions of protein sequences to enhance protein design and accelerate R&D. This technology is expected to address protein engineering challenges that traditional tools cannot handle, providing biopharmaceutical companies with quicker and more successful experimental outcomes. Cradle has attracted Index.

The latest version of AlphaFold can predict the structures of proteins, nucleic acids, and molecules containing PTM, achieving high-accuracy atomic-level predictions for ligands, proteins, and nucleic acids. It significantly surpasses earlier versions in antibody-binding-related issues and is capable of predicting protein-ligand structures more quickly and accurately, aiding in the understanding of complex biological mechanisms and accelerating medical applications.

Harvard and Columbia have released the open dataset OpenProteinSet, containing 16 million protein multiple sequence alignments and related data to support AI model training. AlphaFold 2 has achieved a milestone in the accuracy of protein structure predictions, but its proprietary data has limited progress for other researchers. OpenProteinSet includes MSAs for all proteins in the PDB, providing ample precomputed MSA resources for the protein machine learning community. This dataset can be used for various tasks in structural biology.